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Machine-Learning

Machine learning: Practical applications

This repository contains machine learning models which implemented and trained completely by Iman Irajian.

ID Model Dataset
1 Multivariate Linear Regression Boston House-Prices dataset
2 Convolutional AutoEncoder MNIST dataset

Tools:

ID Title File Description
1 k-fold cross validation formulation 1_k-fold_cross-validation_formulation.ipynb A mathematical formulation for k-fold cross-validation

Preprocessing:

ID Title File Dataset
1 Log of word frequencies shakespeare_log-of-word-frequencies.py TensorFlow.org Shakespeare dataset

Helpers:

ID Title File Description
1 MNIST dataset helper mnist_helper.py MNIST dataset loading helper

Author: Iman Irajian
Contact
Email: [email protected]
LinkedIn: linkedin.com/in/imanirajian